Professional Experience
Building data-driven solutions and modern web applications with expertise in full-stack development and data science.
Current Role
Full-Stack Engineer & Data Scientist
Building predictive models with robust ETL processes and advanced analytics, delivering data-driven solutions across sectors through sophisticated AI and ML implementation
Key Responsibilities
- Maintained 10+ client-specific data pipelines using Airflow, Python, and SQL, ensuring accurate delivery of millions of records per week across diverse SaaS environments
- Investigated and resolved data integrity issues across 100K+ client records, integrating clean datasets into AI and CDP systems to support model accuracy and downstream reporting
- Deployed 20+ machine learning models using a Python-based JSON workflow engine, supporting scalable inference and rapid experimentation
- Enhanced the ReactJS frontend by fixing 30+ UI bugs and delivering 10+ new features, improving usability and reducing support tickets by an estimated 25%
- Expanded backend functionality by adding 15+ Flask API endpoints and optimizing database schemas for 3+ key modules, cutting response times by up to 200ms and enabling new product features
Technologies Used
Previous Experience
Data Scientist & Front-End Engineer
Specialized in frontend development and user interface design and data science
Key Achievements
- Developed client-specific predictive models using R and PostgreSQL, enabling personalized insights and supporting key GTM workflows across enterprise accounts
- Improved and designed new features for internal CDP and AI platforms, contributing to faster model iteration cycles and supporting 5+ live client deployments
- Implemented test-driven development (TDD) practices to validate critical backend processes for the web application, increasing test coverage and reducing post-deploy bugs by 30%
Data Scientist
Specialized in data science and data analysis
Key Achievements
- Developed and maintained 3 in-house R packages to standardize modeling workflows and accelerate internal analytics development
- Led the development of a Shiny application to streamline predictive modeling and provide transparent visibility into model performance and historical changes
- Built and deployed 4 client-facing predictive models using R, PostgreSQL, and Java, for the Pipeline Accelerator product
- Contributed to the backend architecture of the CDP platform, supporting integration of modeling outputs and client data pipelines
- Applied test-driven development (TDD) to major R package upgrades, reducing release-related bugs and increasing deployment stability
- Enhanced feature evaluation techniques using ggplot and advanced statistical analysis in R, resulting in more accurate model selection and improved predictive performance
Data Analytics Intern
Specialized in data analysis for the mobile app team
Key Achievements
- Queried and analyzed large datasets using SQL to generate insights for product and marketing stakeholders
- Created live, detailed Tableau dashboards for Frost product owners, enabling real-time monitoring of feature adoption and usage across thousands of users
- Developed custom Splunk dashboards to surface consumer trends and behavioral patterns on the Frost Bank mobile app, informing roadmap decisions and UX improvements
Data Analytics Intern
Specialized in data analysis for the News team
Key Achievements
- Created Tableau visualizations for digital publications
- Used Python to develop regressions and neural networks to optimize company performance
- Provided feedback on news reports and general system operations
- Scraped and formatted political contribution data from the Texas Ethics Commission for digital publications
- Utilized Dash, Flask, HTML, and Python to develop an adaptable dashboard application
Projects & Articles
A collection of personal projects and technical articles showcasing expertise in full-stack development, AI/ML, and data science.
Portfolio Website with Swishter AI
Portfolio Website with Swishter AI
ActiveA modern, responsive portfolio website built with Next.js 15 featuring an intelligent AI assistant named Swishter. Combines clean design with context-aware AI chat for professional inquiries and business communication.
a11yUnit
a11yUnit
ActiveAI-powered accessibility compliance scanner and NPM package for automated WCAG testing. Provides comprehensive accessibility audits with actionable recommendations for web developers and teams.
PraetorAI
PraetorAI
In ProgressAn AI-first project management and productivity platform designed to enhance team collaboration and project efficiency through intelligent automation.
Tenet
Tenet
In ProgressA mobile-first social opinion platform for structured, intentional discourse. Built to facilitate meaningful conversations with organized debate structure.
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Beyond the Code
Life's best moments happen away from the screen. Here's a glimpse into the people, places, and passions that keep me grounded and inspired.
Best day ever! Marrying Amelia in 2023 was just the beginning of our adventure together. She somehow manages to put up with my coding marathons and still brings me coffee at 2 AM.
Meet Swish, my Bernedoodle and self-appointed Chief Debugging Officer. He has zero coding skills but somehow always knows when I need a walk break. Those puppy eyes are dangerously effective at ending late-night coding sessions.
Born and raised in Austin, where breakfast tacos are a food group and "Keep Austin Weird" isn't just a slogan. This city taught me that the best solutions often come from the most unexpected places.
Football season is the best season for me - Texas Longhorns for college, Atlanta Falcons for NFL. Yes, I chose pain with the Falcons, but loyalty runs deep. Hook 'em Horns and Rise Up, always!
Trinity University, Class of 2022. Four years of discovering that data tells stories, technology solves problems, and sometimes the best insights come from combining business and sports analytics in unexpected ways.
Swishter
Ask me about Tristan's experience
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